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المؤلفElloumi, Samir
المؤلفJaam, Jihad
المؤلفHasnah, Ahmad
المؤلفJaoua, Ali
المؤلفNafkha, Ibtissem
تاريخ الإتاحة2009-12-30T07:40:05Z
تاريخ النشر2003-06-20
اسم المنشورInformation Sciences
المعرّفhttp://dx.doi.org/10.1016/j.ins.2003.06.013
الاقتباسSamir Elloumi, Jihad Jaam, Ahmed Hasnah, Ali Jaoua, Ibtissem Nafkha, A multi-level conceptual data reduction approach based on the Lukasiewicz implication, Information Sciences, Volume 163, Issue 4, 18 June 2004, Pages 253-262
معرّف المصادر الموحدhttp://hdl.handle.net/10576/10582
الملخصStarting from fuzzy binary data represented as tables in the fuzzy relational database, in this paper, we use fuzzy formal concept analysis to reduce the tables size to only keep the minimal rows in each table, without losing knowledge (i.e., association rules extracted from reduced databases are identical at given precision level). More specifically, we develop a fuzzy extension of a previously proposed algorithm for crisp data reduction without loss of knowledge. The fuzzy Galois connection based on the Lukasiewicz implication is mainly used in the definition of the closure operator according to a precision level, which makes data reduction sensitive to the variation of this precision level.
اللغةen
الناشرElsevier Science Inc
الموضوعFuzzy data reduction
Lukasiewicz implication
Fuzzy Galois connection
Precision level
العنوانA multi-level conceptual data reduction approach based on the Lukasiewicz implication
النوعArticle
dc.accessType Abstract Only


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